The correct answer is: A. Smoothing
Smoothing is a technique used in natural language processing to improve the accuracy of statistical language models. It does this by adding a small amount of noise to the training data, which helps to prevent the model from overfitting the data.
The standard forward pass is a technique used in machine learning to compute the probability of a sequence of events. It does this by multiplying the probabilities of each event in the sequence, starting with the most likely event and working backwards.
Modified smoothing is a technique that is used to improve the accuracy of the standard forward pass. It does this by adding a small amount of noise to the probability of each event in the sequence. This helps to prevent the model from overfitting the
data.HMM is a statistical model that is used to model sequences of events. It is often used in natural language processing to model the sequence of words in a sentence.
Depth-first search algorithm is an algorithm that is used to search a graph. It starts at a
node and then explores all of the nodes that are connected to it. If it finds a goal node, it returns that node. Otherwise, it continues to explore the graph until it finds a goal node or until it reaches a dead end.In conclusion, the correct answer is: A. Smoothing. Smoothing is a technique used in natural language processing to improve the accuracy of statistical language models. It does this by adding a small amount of noise to the training data, which helps to prevent the model from overfitting the data.